Identifier-Free Code Embedding Models for Scalable Search
Function association is a useful process for binary reverse engineers. Search tools exist to perform association at scale, but they do not utilize the full range of capabilities that AI-enabled search provides. Prior work has explored the development of embedding models for association between certain reverse engineering code representations, but that work does not cover bidirectional association between source code and decompiled, stripped code with standard preprocessing requirements. To bridge this gap, we formalize this function association problem and evaluate the extent to which embedding models can bidirectionally associate between these two representations. To improve model perfor...
| Authors | Eric Wolos, Michael Doyle |
|---|---|
| Primary category | cs.CR |
| Published | 5 May 2026 |
| Last updated at source | 15 October 2026 |
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